// Update is called once per frame
void Update()
{
ag.UpdateValue();
tmp.text = "" + ArgsGetter.GetKcal(ArgsGetter.TargetHR) + "Kcal";
switch (ArgsGetter.Intensity)
{
case 1:
subText.text = "저강도로 오래 운동을 하면 체중 감소에 좋습니다.";
break;
case 2:
subText.text = "중강도 운동은 심장과 근육을 단련하는 데에 좋습니다.";
break;
case 3:
subText.text = "고강도 운동은 심장과 근육을 더욱 더 단련합니다.\n주의해서 플레이하세요.";
break;
default:
subText.text = "";
break;
}
}
void Awake()
{
LineRenderer r = GetComponent <LineRenderer>();
//StringBuilder sb = new StringBuilder("hr, targetSPN(difficulty), avgDelta (real difficulty), hrthres\n");
var file = File.ReadAllLines("log.csv").Select(s => s.Split(',')).ToList();
file.RemoveAt(0);//remove header
var hr_ = from string[] line in file select TryParse(line[0]);
var hrThres_ = from string[] line in file select TryParse(line[3]);
var hr = hr_.ToList();
var hrThres = hrThres_.ToList();
hrSamples = new float[sampleCount];
hrThresSamples = new float[sampleCount];
var fc = file.Count;
int linesPerSample = (fc / sampleCount) + 1;
avgHR = hr.Average();
estkcal = ArgsGetter.GetKcal(ArgsGetter.TargetHR);
usedkcal = ArgsGetter.GetKcal(avgHR);
for (int i = 0; i < sampleCount; i++)
{
int a = Mathf.Min(fc - linesPerSample, (int)(((float)fc) / sampleCount * i));
int from = Mathf.Max(0, a);
Debug.Log(a + ", " + from);
hrSamples[i] = (float)Enumerable.Range(from, linesPerSample).Average(q => hr[q]);
hrThresSamples[i] = (float)Enumerable.Range(from, linesPerSample).Average(q => hrThres[q]);
}
OnResize();
}
// Start is called before the first frame update
void Start()
{
tmp = GetComponent <TextMeshProUGUI>();
ag = FindObjectOfType <ArgsGetter>();
}
